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Lawrence K. Saul
Lawrence K. Saul
Senior Research Scientist, Flatiron Institute
Adresse e-mail validée de flatironinstitute.org - Page d'accueil
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Nonlinear dimensionality reduction by locally linear embedding
ST Roweis, LK Saul
science 290 (5500), 2323-2326, 2000
188742000
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of machine learning research 10 (2), 2009
49712009
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37, 183-233, 1999
48201999
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, L Saul
Advances in neural information processing systems 18, 2005
24882005
Think globally, fit locally: unsupervised learning of low dimensional manifolds
LK Saul, ST Roweis
22452003
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70, 77-90, 2006
12422006
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
J Ma, LK Saul, S Savage, GM Voelker
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
11802009
Kernel methods for deep learning
Y Cho, L Saul
Advances in neural information processing systems 22, 2009
9882009
Identifying suspicious URLs: an application of large-scale online learning
J Ma, LK Saul, S Savage, GM Voelker
Proceedings of the 26th annual international conference on machine learning …, 2009
8012009
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Learning in graphical models, 105-161, 1998
7681998
Advances in neural information processing systems 16
S Thrun, L Saul, B Schölkopf
Proceedings of the 2003 Conference. illustrated edition. London, England …, 2004
7042004
Learning a kernel matrix for nonlinear dimensionality reduction
KQ Weinberger, F Sha, LK Saul
Proceedings of the twenty-first international conference on Machine learning …, 2004
6922004
Mean field theory for sigmoid belief networks
LK Saul, T Jaakkola, MI Jordan
Journal of artificial intelligence research 4, 61-76, 1996
5931996
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, L Saul, D Lee
Advances in neural information processing systems 15, 2002
3932002
Exploiting tractable substructures in intractable networks
L Saul, M Jordan
Advances in neural information processing systems 8, 1995
3831995
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
AAAI 6, 1683-1686, 2006
3752006
Fast solvers and efficient implementations for distance metric learning
KQ Weinberger, LK Saul
Proceedings of the 25th international conference on Machine learning, 1160-1167, 2008
3702008
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
3622006
Semisupervised alignment of manifolds
J Ham, D Lee, L Saul
International Workshop on Artificial Intelligence and Statistics, 120-127, 2005
3462005
Beyond heuristics: learning to classify vulnerabilities and predict exploits
M Bozorgi, LK Saul, S Savage, GM Voelker
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
3352010
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